Feature selection methods for improving protein structure prediction with Rosetta

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Blum, Ben ^a   Jordan, Michael I ^a   Kim, David E ^b   Das, Rhiju ^b   Bradley, Philip ^b   Baker, David ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DECISION TREES; FEATURE SELECTION; FORECASTING; MONTE CARLO METHODS;

ALPHA-BETA; ENERGY LANDSCAPE; ENERGY MINIMIZATION METHODS; FEATURE SELECTION METHODS; LOWER ENERGIES; PROTEIN STRUCTURE PREDICTION; RANDOM RESTART; RESAMPLING TECHNIQUE; ROSETTA; STRUCTURAL FEATURE;

PROTEINS;

EID: 85162052697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. G. E. P. Box and K. B. Wilson. On the experimental attainment of optimum conditions (with discussion). Journal of the Royal Statistical Society Series B, 13(1):1-45, 1951.
2. Justin Boyan and AndrewW. Moore. Learning evaluation functions to improve optimization by local search. The Journal of Machine Learning Research, 1:77-112, 2001.
3. Phil Bradley, Lars Malmstrom, Bin Qian, Jack Schonbrun, Dylan Chivian, David E. Kim, Jens Meiler, Kira M. Misura, and David Baker. Free modeling with Rosetta in CASP6. Proteins, 61(S7):128-134, 2005. (Pubitemid 43069966)
4. Bradley Efron, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. Least angle regression. Annals of Statistics (with discussion), 32(2):407-499, 2004. (Pubitemid 41250302)
5. Wolfgang Kabsch and Chris Sander. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers, 22(12):2577-2637, 1983.
6. Robert Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B, 58(1):267-288, 1996.